Denoising and Artifact Rejection For Cardiac Signal in a Sensis System

Abstract

A system denoises and rejects artifacts from cardiac signals, by accepting a cardiac signal from a patient, processing the cardiac signal from the patient using a frequency band width controllable choke to separate the cardiac signal into predefined frequencies, filtering each of the predefined frequencies to remove dynamic common noise, joining each of the predefined frequencies into a cardiac signal without the dynamic common noise, and providing feedback control of the filtering of each of the predefined frequencies.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This is a United States Continuation in Part Application of non-provisional application Ser. No. 11 / 831,143 claiming priority of U.S. provisional patent application Ser. No. 60 / 913,905 the entirety of which application is incorporated by reference herein.FIELD OF THE INVENTION[0002]The present invention relates to noise and artifact interference reduction. More specifically, the invention provides a method and apparatus to suppress noise and artifacts encountered during evaluation of cardiac signals for medical patients.BACKGROUND INFORMATION[0003]Cardiac monitoring equipment can use different approaches and strategies for noise cancellation or reduction and artifact reduction. These conventional approaches include notch filtering for 50 / 60 Hertz electrical artifacts or low pass filtering for high frequency emission noise. These conventional approaches, however, have several shortcomings that are troublesome for medical personnel performi...

AI Technical Summary

Benefits of technology

[0012]It is also an objective to provide a method and apparatus that can effectively track and cancel dynamic noise and artifacts such as voltage / current leakage noise generated from use of medical instruments such as bovie knife and cardiac ablators.

[0023]In an additional exemplary embodiment, the controllable choke separating the signals from the patient is controlled through a computer programmable selection that decreases common mode noise.

Problems solved by technology

These conventional approaches, however, have several shortcomings that are troublesome for medical personnel performing evaluations.

A first drawback to conventional approaches is that frequency analysis based filtering techniques can not efficiently remove common mode noise and artifact interference that share the same frequency band with cardiac signals (commonly known as overlapping signals).

A second drawback to conventional approaches is that fixed low or high frequency band pass filtering in current demising and artifact rejection methods can not effectively track and cancel dynamic noise and artifacts (especially broad band noise and semi-white noise), such as voltage / current leakage noise generated from use of bovie knife and cardiac ablators.

Another drawback to conventional approaches is that these methods are designed for linear signal processing and analysis that may not effectively reduce the non-linear and non-stationary noise and artifacts for the cardiac signals.

A further drawback to conventional approaches is that denoising methods do not have enough intrinsic data analysis and characterization of the noise and interference in the cardiac signals which greatly limit the application and efficiency of the noise removal and artifact rejection.

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